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Section 1: Overview
Name of Research Project
Related Project
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Part
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GWF-LWGC: Linking Water Governance in Canada to Global Economic, Social, and Political Drivers
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Program Affiliations
Related Research Project(s)
GWF-LWGC: Linking Water Governance in Canada to Global Economic, Social, and Political Drivers | |
Dataset Title
Linking Water Governance to Global Socio-economic Drivers: Case of Demographic Change Near Great Lakes Basin
Additional Information
Creators and Contributors
Rob de Loë | PI | rdeloe@uwaterloo.ca | University of Waterloo |
Bereket Isaac | Originator | bnegasii@uwaterloo.ca | University of Waterloo |
Abstract
Data will be analyzed with both quantitative and qualitative methods. The quantitative method will include statistical analyses on the relationship between population groups and environmental behavior such as water consumption rates. The statistical analysis software, SPSS and other tools will be useful for such analyses. The qualitative method will involve the analysis of interviews as well as strategy documents, reports, plans and other documentary sources that are relevant to understand the behavior of immigrant groups in relation to water stewardship. The qualitative analysis software, QSRNVivo will be useful in qualitative analysis.
The data from Ontario will be use as input forcing for the hydro-economic model for the Great Lakes Basin
Purpose
The purpose of this research is to offer detailed and systematic analyses of the role of changing demographics and societal values on water governance processes in the Ontario portion of the Great Lakes basin as well as offer potential governance innovations in addressing those challenges.
This dataset will support the project titled "Linking Water Governance to Economic, Social and Political Drivers" which is a Pillar 1-2 project under the Global Water Futures Program funded by Canada First Research Excellence Fund
Plain Language Summary
Keywords
Demography |
Great Lakes |
Modeling |
Social benefits |
Socio-economic impacts |
Water supply |
Citations
de Loë, R., & Isaac, B. (2019). Linking Water Governance to Global Socio-economic Drivers: Case of Demographic Change Near Great Lakes Basin. Waterloo, Canada: Canadian Cryospheric Information Network (CCIN). (Unpublished Data).
Section 3: Status and Provenance
Dataset Version
Dataset Creation Date
Status of data collection/production
Dataset Completion or Abandonment Date
Data Update Frequency
Creation Software
Primary Source of Data
Other Source of Data (if applicable)
Data Lineage (if applicable). Please include versions (e.g., input and forcing data, models, and coupling modules; instrument measurements; surveys; sample collections; etc.)
Section 4: Access and Downloads
Access to the Dataset
Terms of Use
Does the data have access restrictions?
Downloading and Characteristics of the Dataset
Download Links and Instructions
Not available
Total Size of all Dataset Files (GB)
File formats and online databases
Other Data Formats (if applicable)
List of Parameters and Variables